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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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. The PhD programme will address research challenges including: • Generalisation vs specialisation: How to learn common physical behaviour across different gas turbine engine types while adapting efficiently
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, their simplifying assumptions limit accuracy when dealing with modern reactor design and complex safety scenarios. Conversely, high-fidelity Computational Fluid Dynamics (CFD) offers immense detail but remains
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Organic quantum batteries: the development of high-performance energy storage devices (S3.5-MPS-Lidzey)
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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recognition, and diarisation. About the School and Research Group You will be a member of the Speech and Hearing research group in the School of Computer Science at the University of Sheffield and an
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Characterization and convergence of non-Brownian webs School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Nic Freeman Application Deadline: Applications accepted all year round Details The Brownian web is a dense system of coalescing Brownian motions in 1+1...
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workflows, but also by helping to reimagine digital editions beyond the constraints of print-based models. In particular, it researches and analyses how computational and AI-driven methods, including but not
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Performance Venues create and deliver a large and varied programme of events across each year supporting our students, academics, and professional services teams, as well as encouraging audiences
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at the undergraduate and postgraduate level. You will have a growing or established research profile and demonstrate the ability to design a programme of research that will produce high quality outputs and have real